{"id":"https://openalex.org/W3011868884","doi":"https://doi.org/10.1109/camsap45676.2019.9022644","title":"A Super-Resolution Algorithm for Extended Target Localization","display_name":"A Super-Resolution Algorithm for Extended Target Localization","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011868884","doi":"https://doi.org/10.1109/camsap45676.2019.9022644","mag":"3011868884"},"language":"en","primary_location":{"id":"doi:10.1109/camsap45676.2019.9022644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078477317","display_name":"Jonathan Helland","orcid":null},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Helland","raw_affiliation_strings":["Department of Electrical Engineering, Colorado School of Mines, Golden, CO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065207980","display_name":"Michael B. Wakin","orcid":"https://orcid.org/0000-0002-2165-4586"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael B. Wakin","raw_affiliation_strings":["Department of Electrical Engineering, Colorado School of Mines, Golden, CO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101848896","display_name":"Gongguo Tang","orcid":"https://orcid.org/0000-0002-7879-1338"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gongguo Tang","raw_affiliation_strings":["Department of Electrical Engineering, Colorado School of Mines, Golden, CO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"386","last_page":"390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.60403972864151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5840112566947937},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5761507749557495},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5329362750053406},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4871194362640381},{"id":"https://openalex.org/keywords/point-target","display_name":"Point target","score":0.4634309709072113},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.43248701095581055},{"id":"https://openalex.org/keywords/prolate-spheroid","display_name":"Prolate spheroid","score":0.43080341815948486},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4179246425628662},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.412638783454895},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3877652883529663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3173820376396179},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26721540093421936},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.1132810115814209}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.60403972864151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5840112566947937},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5761507749557495},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5329362750053406},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4871194362640381},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.4634309709072113},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.43248701095581055},{"id":"https://openalex.org/C197807790","wikidata":"https://www.wikidata.org/wiki/Q208395","display_name":"Prolate spheroid","level":2,"score":0.43080341815948486},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4179246425628662},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.412638783454895},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3877652883529663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3173820376396179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26721540093421936},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.1132810115814209},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap45676.2019.9022644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1899551690","https://openalex.org/W1967589385","https://openalex.org/W1991198335","https://openalex.org/W1999913571","https://openalex.org/W2028191993","https://openalex.org/W2122302132","https://openalex.org/W2123457453","https://openalex.org/W2167077875","https://openalex.org/W2167208435","https://openalex.org/W2519324568","https://openalex.org/W2565293665","https://openalex.org/W2798672126","https://openalex.org/W2962761750","https://openalex.org/W2963299038","https://openalex.org/W2963623419","https://openalex.org/W2963772835","https://openalex.org/W2964106337","https://openalex.org/W2989857722","https://openalex.org/W3102195069","https://openalex.org/W6639920774"],"related_works":["https://openalex.org/W2143647943","https://openalex.org/W4213210739","https://openalex.org/W4212938774","https://openalex.org/W2314049333","https://openalex.org/W3021654523","https://openalex.org/W1984935923","https://openalex.org/W2663170903","https://openalex.org/W2605213956","https://openalex.org/W2004393087","https://openalex.org/W2027327454"],"abstract_inverted_index":{"We":[0,40,66],"aim":[1],"to":[2],"localize":[3,41],"extended":[4,37],"targets":[5,42],"(i.e.":[6],"non-point":[7],"targets)":[8],"using":[9,47],"stepped-frequency":[10],"(SF)":[11],"radar":[12],"measurements":[13],"from":[14],"multiple":[15],"transceivers.":[16],"In":[17],"particular,":[18],"we":[19],"consider":[20],"a":[21,48,53],"general":[22],"signal":[23,45,84],"model":[24,46],"with":[25],"directionally":[26],"varying":[27],"target":[28,38],"reflectivity":[29],"that":[30,59,75],"can":[31],"account":[32],"for":[33,81],"many":[34],"types":[35],"of":[36,52],"geometries.":[39],"under":[43],"this":[44,68],"novel":[49],"convex":[50],"relaxation":[51],"tensor":[54],"atomic":[55],"norm":[56],"minimization":[57],"problem":[58],"leverages":[60],"discrete":[61],"prolate":[62],"spheroidal":[63],"sequences":[64],"(DPSS's).":[65],"test":[67],"algorithm":[69],"on":[70],"simulated":[71],"data":[72],"and":[73],"show":[74],"our":[76,82],"proposed":[77],"method":[78],"outperforms":[79],"alternatives":[80],"considered":[83],"model.":[85]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
